Wafa Iqbal

Computational Mechanics · 2013

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wafa Iqbal trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. E.J. Candes
  2. David L. Donoho
  3. Joel A. Tropp
  4. Justin K. Romberg
  5. Stéphane Mallat
  6. Richard Baraniuk
  7. Gitta Kutyniok
  8. Deanna Needell
  9. Terence Tao
  10. Massimo Piccardi

Papers from Wafa Iqbal's perspective

Ordered by how strongly the researchers Wafa Iqbal trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Atomic Decomposition by Basis Pursuit
  2. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
  3. Regression Shrinkage and Selection via the Lasso
  4. Stable signal recovery from incomplete and inaccurate measurements
  5. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
  6. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples (arXiv.org)
  7. Matching pursuits with time-frequency dictionaries
  8. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (IEEE Journal on Selected Topics in Signal Processing)
  9. Exact Matrix Completion via Convex Optimization
  10. Sparse MRI: The application of compressed sensing for rapid MR imaging

Their papers